# CUDA_VISIBLE_DEVICES=1 nohup python main.py --use_wandb --method RNNSAC --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(1.0, 1.0),(1.0, 1.0),(1.0, 1.0),(1.0, 1.0)]" &
# CUDA_VISIBLE_DEVICES=1 nohup python main.py --use_wandb --method RNNSAC --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(0.1, 0.5),(0.1, 1.0),(1.0, 0.5),(1.0, 1.0)]" &
# CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_wandb --method RNNSAC --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(1, 0.1),(1, 0.2),(1, 0.5),(1, 1),(1, 2),(1, 3),(1, 4),(1, 6)]" &
# CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_wandb --method RNNSAC --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(0.1, 1),(0.2, 1.0),(0.5, 1),(1.0, 1.0),(2, 1),(3, 1),(4, 1),(6, 1)]" &

# CUDA_VISIBLE_DEVICES=2 nohup python main.py --use_wandb --method OURSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(1.0, 1.0),(1.0, 1.0),(1.0, 1.0),(1.0, 1.0)]" &
# CUDA_VISIBLE_DEVICES=2 nohup python main.py --use_wandb --method OURSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(0.1, 0.5),(0.1, 1.0),(1.0, 0.5),(1.0, 1.0)]" &
# CUDA_VISIBLE_DEVICES=2 nohup python main.py --use_wandb --method OURSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(1, 0.1),(1, 0.2),(1, 0.5),(1, 1),(1, 2),(1, 3),(1, 4),(1, 6)]" &
# CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_wandb --method OURSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(0.1, 1),(0.2, 1.0),(0.5, 1),(1.0, 1.0),(2, 1),(3, 1),(4, 1),(6, 1)]" &

# CUDA_VISIBLE_DEVICES=2 nohup python main.py --use_weighted_info_nce --use_wandb --method OURSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(1, 0.1),(1, 0.2),(1, 0.5),(1, 1),(1, 2),(1, 3),(1, 4),(1, 6)]" &
# CUDA_VISIBLE_DEVICES=3 nohup python main.py --use_weighted_info_nce --use_wandb --method OURSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(0.1, 1),(0.2, 1.0),(0.5, 1),(1.0, 1.0),(2, 1),(3, 1),(4, 1),(6, 1)]" &

# CUDA_VISIBLE_DEVICES=1 nohup python main.py --use_weighted_info_nce --use_wandb --method OURSAC --encoder_eps_type last --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(1, 0.1),(1, 0.2),(1, 0.5),(1.0, 1.0),(1, 2),(1, 3),(1, 4),(1, 6)]"  &
# CUDA_VISIBLE_DEVICES=3 nohup python main.py --use_weighted_info_nce --use_wandb --method OURSAC --encoder_eps_type last --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(0.1, 1),(0.2, 1.0),(0.5, 1),(1.0, 1.0),(2, 1),(3, 1),(4, 1),(6, 1)]" &

# CUDA_VISIBLE_DEVICES=2 nohup python main.py --use_weighted_info_nce --method OURSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]" &
# CUDA_VISIBLE_DEVICES=2 nohup python main.py --use_weighted_info_nce --method OURSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type last --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]" &
# CUDA_VISIBLE_DEVICES=2 nohup python main.py  --method OURSAC --encoder_eps_type last --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]"  &
# CUDA_VISIBLE_DEVICES=2 nohup python main.py  --method OURSAC --encoder_eps_type all --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]"  &


# CUDA_VISIBLE_DEVICES=1 nohup python main.py --use_weighted_info_nce --method KNNSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]" &
# CUDA_VISIBLE_DEVICES=1 nohup python main.py --use_weighted_info_nce --method KNNSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type last --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]" &
# CUDA_VISIBLE_DEVICES=1 nohup python main.py  --method KNNSAC --encoder_eps_type last --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]"  &
# CUDA_VISIBLE_DEVICES=1 nohup python main.py  --method KNNSAC --encoder_eps_type all --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]"  &

# CUDA_VISIBLE_DEVICES=0 nohup python main.py  --method LFTSAC --causal_dim 6 --causal_hidden_dim 128 --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]"  &
# CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method KNNSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(0, 30),(0, 10),(0, 5),(1, 30),(1, 1),(5, 1),(10, 1),(30, 1)]" &
# CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method KNNSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(0, 30),(0, 5),(1, 30),(1, 1),(1, 1),(10, 1),(30, 5),(30, 1)]" &

# CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method OURSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(0, 30),(0, 10),(0, 5),(1, 30),(1, 1),(5, 1),(10, 1),(30, 1)]" &
# CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method OURSAC --causal_dim 6 --causal_hidden_dim 128 --encoder_eps_type all --train_envs "[(0, 30),(0, 5),(1, 30),(1, 1),(1, 1),(10, 1),(30, 5),(30, 1)]" &


CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method OURSAC --encoder_eps_type all --contrast_buffer_type all --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method OURSAC --encoder_eps_type all --contrast_buffer_type all --train_envs "[(0, 30),(0, 10),(0, 5),(1, 30),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method OURSAC --encoder_eps_type all --contrast_buffer_type all --train_envs "[(0, 30),(0, 10),(0, 5),(1, 10),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method OURSAC --encoder_eps_type all --contrast_buffer_type all --train_envs "[(0, 30),(0, 5),(1, 1),(1, 1),(1, 1),(10, 1),(30, 1),(30, 5)]" &

CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method KNNSAC --encoder_eps_type all --contrast_buffer_type all --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method KNNSAC --encoder_eps_type all --contrast_buffer_type all --train_envs "[(0, 30),(0, 10),(0, 5),(1, 30),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method KNNSAC --encoder_eps_type all --contrast_buffer_type all --train_envs "[(0, 30),(0, 10),(0, 5),(1, 10),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=0 nohup python main.py --use_weighted_info_nce --method KNNSAC --encoder_eps_type all --contrast_buffer_type all --train_envs "[(0, 30),(0, 5),(1, 1),(1, 1),(1, 1),(10, 1),(30, 1),(30, 5)]" &

CUDA_VISIBLE_DEVICES=1 nohup python main.py --use_weighted_info_nce --method OURSAC --encoder_eps_type all --contrast_buffer_type one --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=1 nohup python main.py --use_weighted_info_nce --method OURSAC --encoder_eps_type all --contrast_buffer_type one --train_envs "[(0, 30),(0, 10),(0, 5),(1, 30),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=1 nohup python main.py --use_weighted_info_nce --method OURSAC --encoder_eps_type all --contrast_buffer_type one --train_envs "[(0, 30),(0, 10),(0, 5),(1, 10),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=1 nohup python main.py --use_weighted_info_nce --method OURSAC --encoder_eps_type all --contrast_buffer_type one --train_envs "[(0, 30),(0, 5),(1, 1),(1, 1),(1, 1),(10, 1),(30, 1),(30, 5)]" &

CUDA_VISIBLE_DEVICES=2 nohup python main.py --use_weighted_info_nce --method KNNSAC --encoder_eps_type all --contrast_buffer_type one --train_envs "[(0, 30),(0, 10),(0, 5),(1, 1),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=2 nohup python main.py --use_weighted_info_nce --method KNNSAC --encoder_eps_type all --contrast_buffer_type one --train_envs "[(0, 30),(0, 10),(0, 5),(1, 30),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=2 nohup python main.py --use_weighted_info_nce --method KNNSAC --encoder_eps_type all --contrast_buffer_type one --train_envs "[(0, 30),(0, 10),(0, 5),(1, 10),(1, 1),(5, 1),(10, 1),(30, 1)]" &
CUDA_VISIBLE_DEVICES=2 nohup python main.py --use_weighted_info_nce --method KNNSAC --encoder_eps_type all --contrast_buffer_type one --train_envs "[(0, 30),(0, 5),(1, 1),(1, 1),(1, 1),(10, 1),(30, 1),(30, 5)]" &
